Snowflake Data Engineer

Key Responsibilities:

• • Design and implement scalable data models using Snowflake to support business intelligence and analytics solutions.
  • Implement ETL/ELT solutions that involve complex business transformations.
  • Handle end-to-end Data warehousing solutions
  • Migrate the data from legacy systems to Snowflake systems
  • Write complex SQL queries for extracting, transforming, and loading data, ensuring high performance and accuracy.
  • Optimize the SnowSQL queries for better processing speeds
  • Integrate Snowflake with 3 rd party applications
  • Use any ETL/ELT technology
  • Implement data security policies, including user access control and data masking, to maintain compliance with organizational standards.
  • Document solutions and data flows.

Skills Qualifications:

Experience:

• • 2+ years of experience in data engineering, with a focus on Snowflake.
  • Proficient in SQL and Snowflake-specific SQL functions.
  • Experience with ETL/ELT tools and cloud data integrations.

Technical Skills:

• • Strong understanding of Snowflake architecture, features, and best practices.
  • Experience in using Snowpark, Snowpipe, Streamlit
  • Experience in using Dynamic tables is good to have
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and other cloud-based data technologies.
  • Experience with data modeling concepts like star schema, snowflake schema, and data partitioning.
  • Experience with Snowflake s Time Travel, Streams, and Tasks features
  • Experience in data pipeline orchestration using tools like Airflow or Prefect.
  • Knowledge of Python or Java for scripting and automation.
  • Experience with data visualization tools like Tableau, Power BI, or Looker
  • Knowledge of Snowflake pipelines is good to have
  • Knowledge of data governance practices, including security, compliance, and data lineage.

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